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A free skill by Kami SmartHome. Get notified the moment a package arrives at your door. Detects packages, parcels, and bags from RTSP camera streams using AI vision.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
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| name | kami-package-detection |
| description | A free skill by Kami SmartHome. Get notified the moment a package arrives at your door. Detects packages, parcels, and bags from RTSP camera streams using AI vision. |
| version | 1.0.2 |
| author | kami-smarthome |
| tags | ["smart-home","object-detection","yolo","package-detection","parcel-detection","iot","camera","rtsp","onnx","edge-ai","delivery","monitoring","notification"] |
| triggers | ["detect packages","detect parcels","check for deliveries","package detection","is there a package","monitor packages","check camera for packages","any deliveries at the door"] |
| metadata | {"openclaw":{"requires":{"bins":["python3"]},"emoji":"📦"}} |
Get notified the moment a package arrives at your door.
Monitor your camera feed for packages, parcels, backpacks, handbags, and suitcases. When detected, returns the object class and bounding box as JSON — ready for automation.
bash setup.sh
Creates .venv/ and installs onnxruntime, opencv-python-headless, numpy. Idempotent.
python3 and python3-venv installedyolov8s-worldv2.onnx model file in the skill directoryThe yolov8s-worldv2.onnx model file is included in the skill package. If missing, re-download this skill from ClawHub:
clawhub install kami-package-detection
Before running, confirm these parameters with the user:
| Parameter | Default | Description |
|---|---|---|
--rtsp_url | rtsp://127.0.0.1/live/TNPUSAQ-757597-DRFMY | RTSP camera URL |
--conf_threshold | 0.25 | Confidence threshold (0.0–1.0) |
--class_names | parcel package "delivery box" person "Cardboard box" "Packaging Box" backpack handbag suitcase | Classes to detect |
--run_time | 60 | Max seconds; 0 = unlimited |
Ask the user: do any parameters need to be changed?
.venv/bin/python yolo_world_onnx.py \
--rtsp_url rtsp://your-camera-address \
--run_time 60
{
"detections": [
{
"class_name": "parcel",
"bbox": {"x1": 100, "y1": 200, "x2": 300, "y2": 400}
}
]
}
| Field | Type | Description |
|---|---|---|
class_name | string | Detected object class |
bbox.x1, y1, x2, y2 | int | Bounding box coordinates |
| Code | Meaning |
|---|---|
0 | Target detected, JSON output written |
1 | Error (model missing, RTSP failure, runtime exception) |
2 | Timeout, no target detected within --run_time |
bash: .venv/bin/python: No such file or directory → Run bash setup.shModel file not found → Place yolov8s-worldv2.onnx in the skill directoryCannot open video → Check camera is online and --rtsp_url is correct